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Learned Multi-View Texture Super-Resolution
(2019)2019 International Conference on 3D Vision (3DV)Conference Paper -
Consensus Maximization with Linear Matrix Inequality Constraints
(2017)2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper -
Symmetry-Aware façade parsing with occlusions
(2017)2017 International Conference on 3D Vision (3DV)Conference Paper -
Learning Priors for Semantic 3D Reconstruction
(2018)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018Conference Paper -
Multi-Label Semantic 3D Reconstruction using Voxel Blocks
(2016)2016 Fourth International Conference on 3D Vision (3DV)Conference Paper -
Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization
(2016)2016 Fourth International Conference on 3D Vision (3DV)Conference Paper -
Consensus Maximization for Semantic Region Correspondences
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionConference Paper -
Entropy Minimization for Convex Relaxation Approaches
(2015)2015 IEEE International Conference on Computer Vision (ICCV)Conference Paper -
Learning 3D Semantic Reconstruction on Octrees
(2019)Lecture Notes in Computer Science ~ Pattern RecognitionConference Paper -
KAPLAN: A 3D Point Descriptor for Shape Completion
(2020)2020 International Conference on 3D Vision (3DV)We present a novel 3D shape completion method that operates directly on unstructured point clouds, thus avoiding resource-intensive data structures like voxel grids. To this end, we introduce KAPLAN, a 3D point descriptor that aggregates local shape information via a series of 2D convolutions. The key idea is to project the points in a local neighborhood onto multiple planes with different orientations. In each of those planes, point ...Conference Paper